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Deep Convolutional Neural Network Used in Single Sample per Person Face Recognition
Joint Authors
Mai, Chaoyun
Zhai, Yikui
Gan, Junying
Zeng, Junying
Zhao, Xiaoxiao
Wang, Fan
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-23
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Face recognition (FR) with single sample per person (SSPP) is a challenge in computer vision.
Since there is only one sample to be trained, it makes facial variation such as pose, illumination, and disguise difficult to be predicted.
To overcome this problem, this paper proposes a scheme combined traditional and deep learning (TDL) method to process the task.
First, it proposes an expanding sample method based on traditional approach.
Compared with other expanding sample methods, the method can be used easily and conveniently.
Besides, it can generate samples such as disguise, expression, and mixed variation.
Second, it uses transfer learning and introduces a well-trained deep convolutional neural network (DCNN) model and then selects some expanding samples to fine-tune the DCNN model.
Third, the fine-tuned model is used to implement experiment.
Experimental results on AR face database, Extend Yale B face database, FERET face database, and LFW database demonstrate that TDL achieves the state-of-the-art performance in SSPP FR.
American Psychological Association (APA)
Zeng, Junying& Zhao, Xiaoxiao& Gan, Junying& Mai, Chaoyun& Zhai, Yikui& Wang, Fan. 2018. Deep Convolutional Neural Network Used in Single Sample per Person Face Recognition. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1130674
Modern Language Association (MLA)
Zeng, Junying…[et al.]. Deep Convolutional Neural Network Used in Single Sample per Person Face Recognition. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1130674
American Medical Association (AMA)
Zeng, Junying& Zhao, Xiaoxiao& Gan, Junying& Mai, Chaoyun& Zhai, Yikui& Wang, Fan. Deep Convolutional Neural Network Used in Single Sample per Person Face Recognition. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1130674
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130674